Gas path diagnosis method and device, vehicle and computer storage medium

Abstract

The invention relates to an air path diagnosis method and device, a vehicle and a computer storage medium, and belongs to the technical field of automobile fault diagnos.The air path diagnosis method comprises the steps that air pressure data of a vehicle brake circuit are obtained, and an initial air pressure extreme point in the air pressure data is determined based on a preset initial air pressure extreme cut-off point; determining a target air pressure extreme value cut-off point of the air pressure data based on the number of the initial air pressure extreme value points and the standard deviation of the initial air pressure extreme value points, and determining a target air pressure extreme value point of the air pressure data based on the target air pressure extreme value cut-off point; and determining the average air pumping time interval of the air compressor based on the target air pressure extreme point, and determining whether the vehicle brake circuit leaks or not based on the average air pumping time interval of the air compressor and a preset standard average air pumping time interval of the air compressor. According to the invention, slight leakage of the vehicle gas circuit can be diagnosed timely and accurately.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automobile fault diagnosis, and in particular to an air path diagnosis method and device, a vehicle, and a computer storage medium. BACKGROUND

[0002] Air paths are widely used in vehicles, especially in the field of commercial vehicles, and are key components of vehicles.

[0003] Air path leakage is a difficulty in vehicle fault diagnosis. Small leaks usually do not affect the air path pressure of the vehicle, but continuous leakage can have a significant impact on the economy of the vehicle. Leakage can cause the air compressor to work abnormally frequently. The prior art is to manually observe air path pressure data to determine whether the air path is leaking. It is difficult to identify slight leakage, and the air path data covers a long time span. Manual diagnosis cannot achieve comprehensive inspection of the air path for a long time, resulting in inaccurate diagnosis of air path leakage.

[0004] Therefore, the prior art cannot accurately identify slight leakage of the air path. SUMMARY

[0005] Therefore, it is necessary to provide an air path diagnosis method, device, vehicle, and computer storage medium to solve the problem that the prior art cannot accurately identify slight leakage of the air path.

[0006] To solve the above problems, in a first aspect, the present application provides an air path diagnosis method, comprising: Obtaining air pressure data of a vehicle brake circuit, determining an initial air pressure extreme value point in the air pressure data based on a preset initial air pressure extreme value cutoff point; Determining a target air pressure extreme value cutoff point of the air pressure data based on the number of initial air pressure extreme value points and the standard deviation of the initial air pressure extreme value points, and determining a target air pressure extreme value point of the air pressure data based on the target air pressure extreme value cutoff point; Determining an average air compressor pumping time interval based on the target air pressure extreme value point, and determining whether the vehicle brake circuit is leaking based on the average air compressor pumping time interval and a preset standard air compressor average pumping time interval.

[0007] In one possible implementation, obtaining air pressure data of a vehicle brake circuit, and determining an initial air pressure extreme value point in the air pressure data based on a preset initial air pressure extreme value cutoff point, comprises: Obtaining air pressure data of the brake circuit when the vehicle is not braking for a preset time period; Performing mean value smoothing processing on each air pressure point in the air pressure data using a preset window length to obtain smoothed air pressure data; The pressure points in the smoothed pressure data that are greater than the cutoff point of the initial maximum pressure are taken as the initial maximum pressure points, and the pressure points in the smoothed pressure data that are less than the cutoff point of the initial minimum pressure are taken as the initial minimum pressure points.

[0008] In one possible implementation, the target pressure extreme value cutoff point of the pressure data is determined based on the number of initial pressure extreme points and the standard deviation of the initial pressure extreme points, including: According to the preset air pressure interval, the air pressure values ​​in the air pressure range included in the air pressure data are used as the initial air pressure extreme value cutoff point to determine the initial air pressure extreme value point. The pressure extreme cutoff point score is calculated based on the number of initial pressure extreme points corresponding to each pressure value and the standard deviation of the initial pressure extreme points. The air pressure value with the highest score at the extreme air pressure cutoff point is taken as the target extreme air pressure cutoff point.

[0009] In one possible implementation, the target pressure extreme value cutoff point includes a target pressure maximum value cutoff point and a target pressure minimum value cutoff point. Determining the target pressure extreme value point of the pressure data based on the target pressure extreme value cutoff point includes: Peaks in the air pressure data that are greater than the cutoff point of the target air pressure maximum value are taken as candidate target air pressure maximum value points, and troughs in the air pressure data that are less than the cutoff point of the target air pressure minimum value are taken as candidate target air pressure minimum value points. The candidate target pressure maximum and minimum points are screened to obtain the target pressure extreme points, so as to ensure that there is one and only one minimum target pressure extreme point between adjacent target pressure maximum points and one and only one maximum target pressure maximum point between adjacent target pressure minimum points.

[0010] In one possible implementation, determining the average pumping time interval of the air compressor based on the target pressure extreme point includes: The time interval between the first target air pressure maximum point and the first target air pressure minimum point is taken as the air compressor pumping time sub-interval, wherein the first target air pressure minimum point is the target air pressure minimum point adjacent to the first target air pressure maximum point after the first target air pressure maximum point. The number of pumping time sub-intervals for each air compressor is counted, and the average pumping time interval of the air compressor is determined based on the cumulative duration and number of pumping time sub-intervals for each air compressor.

[0011] In one possible implementation, determining whether there is a leak in the vehicle's braking circuit based on the average pumping time interval of the air compressor and a preset standard average pumping time interval of the air compressor includes: When the average pumping time interval of the air compressor is greater than or equal to the first coefficient multiple of the standard average pumping time interval of the air compressor, it is determined that the vehicle braking circuit has no leakage. When the average pumping time interval of the air compressor is less than the first coefficient multiple of the standard average pumping time interval of the air compressor and is greater than or equal to the second coefficient multiple of the standard average pumping time interval of the air compressor, it is determined that there is a slight leak in the vehicle's braking circuit. When the average pumping time interval of the air compressor is less than the second coefficient multiple of the standard average pumping time interval of the air compressor, the vehicle's braking circuit is judged to have a serious leak; where the first coefficient is greater than the second coefficient.

[0012] In one possible implementation, after determining the target extreme pressure point of the pressure data, the process includes: The compressor's pumping time is determined based on the target pressure extreme point, and the compressor's load rate is calculated based on the pumping time and the engine running time. Determine whether there is leakage in the vehicle's braking circuit based on the load rate and the preset standard load rate.

[0013] In a second aspect, the present invention also provides a gas path diagnostic device, comprising: The data acquisition module is used to acquire air pressure data of the vehicle braking circuit and determine the initial air pressure extreme point in the air pressure data based on the preset initial air pressure extreme value cutoff point. The atmospheric pressure extreme point determination module is used to determine the target atmospheric pressure extreme point cutoff point of the atmospheric pressure data based on the number of initial atmospheric pressure extreme points and the standard deviation of the initial atmospheric pressure extreme points, and to determine the target atmospheric pressure extreme point of the atmospheric pressure data based on the target atmospheric pressure extreme point cutoff point; The leak diagnosis module is used to determine the average pumping time interval of the air compressor based on the target air pressure extreme point, and to determine whether there is a leak in the vehicle braking circuit based on the average pumping time interval of the air compressor and the preset standard average pumping time interval of the air compressor.

[0014] Thirdly, the present invention also provides a vehicle, including a memory and a processor, wherein, Memory, used to store programs; The processor, coupled to the memory, is used to execute a program stored in the memory to implement the steps in the gas path diagnostic method of any of the above embodiments.

[0015] Fourthly, the present invention also provides a computer-readable storage medium for storing a computer-readable program or instructions, which, when executed by a processor, can implement the steps in the gas path diagnosis method of any of the above embodiments.

[0016] The beneficial effects of this invention are as follows: The air circuit diagnosis method provided by this invention analyzes the air pressure data of the vehicle braking circuit to determine the initial air pressure extreme point in the air pressure data. It can determine the corresponding initial air pressure extreme point according to different vehicles, different vehicle conditions, and different external conditions. Based on the number of initial air pressure extreme points and the standard deviation of the initial air pressure extreme points, it determines the target air pressure extreme point cutoff point of the air pressure data, and based on the target air pressure extreme point cutoff point, it determines the target air pressure extreme point of the air pressure data. It can ensure the accuracy of the target air pressure extreme point determination. By determining the target air pressure extreme point in a dynamic way, it can adapt to various working conditions and various vehicles, and prevent the determination of the air pressure extreme point from being inaccurate due to a fixed air pressure extreme point cutoff point, thus providing an accurate data source for subsequent analysis. The average pumping interval of the air compressor is determined by identifying the target air pressure extreme point. Based on this average pumping interval and a preset standard average pumping interval, the system determines whether there is a leak in the vehicle's braking circuit. By comparing the actual pumping interval with the standard average pumping interval, the system accurately reflects whether there is a leak in the vehicle's braking circuit and the degree of leakage, enabling precise identification of even minor leaks. Through automatic processing of air pressure data, without manual intervention, the system achieves full-cycle monitoring of the vehicle's braking circuit, allowing for more timely detection of air leaks. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic flowchart of a gas path diagnostic method provided in an embodiment of the present invention; Figure 2 A flowchart illustrating a method for determining an initial pressure extreme point according to an embodiment of the present invention; Figure 3 A flowchart illustrating a method for determining the extreme cutoff point of target air pressure provided in an embodiment of the present invention; Figure 4 A pressure extreme value cutoff point scoring chart provided in an embodiment of the present invention; Figure 5 A target pressure extreme point distribution map provided in an embodiment of the present invention; Figure 6 A flowchart illustrating a method for determining a target pressure extreme point according to an embodiment of the present invention; Figure 7 This is a schematic diagram of extreme point screening provided in an embodiment of the present invention; Figure 8 A flowchart illustrating a method for calculating the average pumping time interval of an air compressor, provided in an embodiment of the present invention; Figure 9 This is a schematic diagram of an air compressor interval time provided in an embodiment of the present invention; Figure 10 A flowchart illustrating a leakage detection method provided in an embodiment of the present invention. Figure 11 A flowchart illustrating another leakage detection method provided in an embodiment of the present invention; Figure 12 This is a schematic diagram of the structure of a gas path diagnostic device provided in an embodiment of the present invention; Figure 13 This is a structural schematic diagram of a vehicle provided in an embodiment of the present invention. Detailed Implementation

[0019] Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not intended to limit the scope of the present invention.

[0020] In the description of the embodiments of the present invention, unless otherwise stated, "multiple" means two or more. "And / or" describes the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0021] The terms "first," "second," etc., used in the embodiments of this invention are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a technical feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature.

[0022] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0023] A specific embodiment of the present invention, such as Figure 1 As shown, a gas duct diagnostic method is disclosed, comprising: S101, acquire the air pressure data of the vehicle braking circuit, and determine the initial air pressure extreme point in the air pressure data based on the preset initial air pressure extreme value cutoff point.

[0024] In this embodiment of the invention, the provided air circuit diagnosis method is applicable to the air circuit leakage diagnosis in a vehicle, because all air circuits in a vehicle are connected, while the brake circuit only uses air when braking, and other air circuits use air continuously after the vehicle is started. Therefore, it is necessary to diagnose whether the vehicle's air circuit is leaking based on the air pressure data of the brake circuit.

[0025] Furthermore, the air pressure data of the vehicle's braking circuit is acquired, which represents the relationship between pressure and time in the vehicle's braking circuit over a period of time. Specifically, pressure data can be generated by collecting pressure data in the vehicle's braking circuit at preset time intervals using pressure sensors.

[0026] Furthermore, to accurately identify the start and end times of air compressor operation, it is necessary to identify the maximum and minimum points in the air pressure data. Because other components in the vehicle's air circuit are constantly using air, the air pressure data can be unstable. Additionally, limitations in the accuracy of the pressure sensor can cause multiple peaks and troughs in the air pressure data, making the determination of the maximum and minimum points imprecise. Therefore, it is necessary to pre-determine the initial extreme point cutoff in the air pressure data. Specifically, peaks with air pressure values ​​greater than the initial extreme point cutoff are identified as the initial extreme points, and troughs with air pressure values ​​less than the initial minimum point cutoff are identified as the initial minimum points.

[0027] S102, determine the target pressure extreme value cutoff point of the pressure data based on the number of initial pressure extreme value points and the standard deviation of the initial pressure extreme value points, and determine the target pressure extreme value point of the pressure data based on the target pressure extreme value cutoff point.

[0028] In this embodiment of the invention, the initial extreme air pressure points determined in the aforementioned embodiments may still be insufficiently precise. Dynamic optimization of the target extreme air pressure points is necessary to adapt to different vehicle conditions and external environments. Specifically, the target extreme air pressure cutoff point can be determined based on the number of initial extreme air pressure points and their standard deviation. Then, the target extreme air pressure point is determined using the method for determining extreme points described in the aforementioned embodiments. Similarly, the target extreme air pressure point includes both the target maximum and target minimum air pressure points. How to determine the target extreme air pressure cutoff point based on the number of initial extreme air pressure points and their standard deviation will be explained in detail later in this invention.

[0029] S103, determine the average pumping time interval of the air compressor based on the target air pressure extreme point, and determine whether there is a leak in the vehicle braking circuit based on the average pumping time interval of the air compressor and the preset standard average pumping time interval of the air compressor.

[0030] In this embodiment of the invention, after determining the target air pressure extreme point in the air pressure data, the air compressor pumping time interval can be determined based on the target air pressure maximum point and the target air pressure minimum point. Then, the average air compressor pumping time interval is compared with the preset standard air compressor average pumping time interval to determine whether there is a leak in the vehicle braking circuit, thereby realizing the leak diagnosis of the vehicle air circuit.

[0031] The air circuit diagnostic method provided in this invention analyzes the air pressure data of the vehicle braking circuit to determine the initial air pressure extreme point in the air pressure data. It can determine the corresponding initial air pressure extreme point according to different vehicles, different vehicle conditions, and different external conditions. Based on the number of initial air pressure extreme points and the standard deviation of the initial air pressure extreme points, it determines the target air pressure extreme point cutoff point of the air pressure data, and based on the target air pressure extreme point cutoff point, it determines the target air pressure extreme point of the air pressure data. It can ensure the accuracy of the target air pressure extreme point determination. By determining the target air pressure extreme point in a dynamic manner, it can adapt to various operating conditions and various vehicles, and prevent the determination of the air pressure extreme point from being inaccurate due to a fixed air pressure extreme point cutoff point, thus providing an accurate data source for subsequent analysis. The average pumping interval of the air compressor is determined by identifying the target air pressure extreme point. Based on this average pumping interval and a preset standard average pumping interval, the system determines whether there is a leak in the vehicle's braking circuit. By comparing the actual pumping interval with the standard average pumping interval, the system accurately reflects whether there is a leak in the vehicle's braking circuit and the degree of leakage, enabling precise identification of even minor leaks. Through automatic processing of air pressure data, without manual intervention, the system achieves full-cycle monitoring of the vehicle's braking circuit, allowing for more timely detection of air leaks.

[0032] In some possible embodiments of the present invention, such as Figure 2 As shown, the air pressure data of the vehicle braking circuit is acquired, and the initial air pressure extreme point in the air pressure data is determined based on the preset initial air pressure extreme value cutoff point, including: S201, Obtain air pressure data of the brake circuit when the vehicle has not braked within a preset time period; S202, using a preset window length, the pressure data is averaged and smoothed to obtain smoothed pressure data. S203, take the pressure points in the smoothed pressure data that are greater than the cutoff point of the initial pressure maximum as the initial pressure maximum point, and take the pressure points in the smoothed pressure data that are less than the cutoff point of the initial pressure minimum as the initial pressure minimum point.

[0033] In this embodiment of the invention, in order to eliminate the disturbance of vehicle air consumption to vehicle air circuit diagnosis, the air pressure data of the brake circuit when no braking is performed within a preset time period can be obtained. For example, the air pressure data of the brake circuit when the vehicle is idling and has not been braked for 10 minutes can be obtained. This is because other air-consuming devices will continue to use air after the vehicle is started, while the brake circuit will only use air when the vehicle is braked. Therefore, collecting the air pressure data of the brake circuit when the vehicle has not been braked within a preset time period can minimize the disturbance of vehicle air consumption to vehicle air circuit diagnosis.

[0034] Furthermore, due to the accuracy of air pressure data acquisition and the influence of other factors, the acquired air pressure data is not smooth enough and requires preprocessing. Specifically, a preset window length can be used to perform mean smoothing on each air pressure point in the air pressure data. For example, for each air pressure point in the air pressure data, the actual value of that air pressure point can be represented by the average of the 10 air pressure points before and after it. By smoothing the entire air pressure data, smoothed air pressure data can be obtained.

[0035] Furthermore, an initial pressure maximum cutoff point can be set, including an initial pressure maximum cutoff point and an initial pressure minimum cutoff point. The pressure points in the smoothed pressure data that are greater than the initial pressure maximum cutoff point are taken as the initial pressure maximum points, and the pressure points in the smoothed pressure data that are less than the initial pressure minimum cutoff point are taken as the initial pressure minimum points, thus determining the initial pressure extreme points.

[0036] This invention improves the smoothness of air pressure data by performing mean smoothing, which facilitates accurate processing of subsequent air pressure data.

[0037] In some possible embodiments of the present invention, such as Figure 3 As shown, the target pressure extreme value cutoff point for the pressure data is determined based on the number of initial pressure extreme points and the standard deviation of the initial pressure extreme points, including: S301, according to the preset air pressure interval, the air pressure values ​​in the air pressure range included in the air pressure data are used as the initial air pressure extreme value cutoff point to determine the initial air pressure extreme value point. S302, and calculate the pressure extreme cutoff point score of the pressure value based on the number of initial pressure extreme points corresponding to each pressure value and the standard deviation of the initial pressure extreme points; S303 uses the pressure value with the highest score at the extreme pressure cutoff point as the target extreme pressure cutoff point.

[0038] In this embodiment of the invention, since different vehicle air pumps have different critical pressure points, it is necessary to dynamically optimize the extreme pressure cutoff point. First, the extreme pressure cutoff point can be determined as the median air pressure of the air pressure data. Then, an extreme pressure cutoff point is set for every 10 kPa, and the corresponding initial extreme pressure point is determined. Then, based on a preset scoring function, the extreme pressure cutoff point score of each air pressure value is calculated based on the number of initial extreme pressure points corresponding to each air pressure value and the standard deviation of the initial extreme pressure points. The scoring function is as follows:

[0039] Where x is the initial extreme pressure cutoff point. Score the pressure extreme value cutoff point of this initial pressure extreme value cutoff point. This represents the number of initial pressure extreme points corresponding to the initial pressure extreme point cutoff point. The standard deviation of the initial pressure extreme point corresponding to the initial pressure extreme point cutoff point.

[0040] Based on the above calculation results, the air pressure value with the highest score at the extreme air pressure cutoff point is taken as the target extreme air pressure cutoff point, such as... Figure 4 and Figure 5 As shown, the highest score was achieved at 1070 kPa, and the target pressure extreme point determined by using 1070 kPa as the cutoff point for the target pressure extreme point is also relatively accurate.

[0041] The present invention provides a dynamic method for determining the cutoff point of the target air pressure extreme value, which can be used with different vehicles and external environments to ensure the accuracy of the determination of the cutoff point of the target air pressure extreme value.

[0042] In some possible embodiments of the present invention, such as Figure 6 As shown, the target pressure extreme value cutoff points include the target pressure maximum cutoff point and the target pressure minimum cutoff point. The target pressure extreme value points for the pressure data are determined based on these cutoff points, including: S601, take the peaks in the air pressure data that are greater than the cutoff point of the target air pressure maximum value as candidate target air pressure maximum value points, and take the troughs in the air pressure data that are less than the cutoff point of the target air pressure minimum value as candidate target air pressure minimum value points. S602, the candidate target pressure maximum and minimum points are screened to obtain the target pressure extreme points, so as to ensure that there is one and only one minimum target pressure extreme point among adjacent target pressure maximum points and one and only one maximum target pressure maximum point among adjacent target pressure minimum points.

[0043] In this embodiment of the invention, the candidate target air pressure extreme points determined in the aforementioned embodiments include candidate target air pressure maximum points and candidate target air pressure minimum points. Furthermore, because the vehicle is constantly using air, there may be instances where the air pressure is not fully inflated during inflation, causing a drop and subsequent rise in air pressure, with inflation continuing even during the drop. This results in multiple candidate target air pressure minimum points between adjacent candidate target air pressure maximum points, or multiple candidate target air pressure maximum points between adjacent candidate target air pressure minimum points. Therefore, it is necessary to filter the candidate target air pressure maximum and minimum points to obtain the target air pressure extreme points, ensuring that there is one and only one minimum target air pressure between adjacent target air pressure maximum points, and one and only one maximum target air pressure between adjacent target air pressure minimum points. Specifically, as shown... Figure 7 As shown, the set of maxima is traversed. If there are multiple minima between two adjacent maxima, the furthest minima of the previous maxima is retained. If there are more than two maxima between two adjacent minima, the furthest maxima of the previous minima is retained. That is, only the extreme points in the circle are retained.

[0044] This invention cleans up extreme points to ensure the accuracy of extreme points in the air pressure data, providing accurate data for subsequent diagnosis of air leakage.

[0045] In some possible embodiments of the present invention, such as Figure 8 As shown, determining the average pumping time interval of the air compressor based on the target pressure extreme point includes: S801, the time interval between the first target air pressure maximum point and the first target air pressure minimum point is taken as the air compressor pumping time sub-interval, wherein the first target air pressure minimum point is the target air pressure minimum point adjacent to the first target air pressure maximum point after the first target air pressure maximum point. S802, count the number of pumping time sub-intervals for each air compressor, and determine the average pumping time interval of the air compressor based on the cumulative duration and number of pumping time sub-intervals for each air compressor.

[0046] In this embodiment of the invention, in order to determine whether there is a leak in the vehicle's air system, it is necessary to determine the pumping time interval of the air compressor, such as... Figure 9As shown in the figure, the downward phase of the curve represents the air compressor's rest time, and the upward phase represents the air compressor's pumping time. Therefore, it is necessary to calculate the total duration of the downward phase. Specifically, the time interval between the first target pressure maximum point and the first target pressure minimum point is taken as the air compressor's pumping time sub-interval. The first target pressure minimum point is the target pressure minimum point adjacent to the first target pressure maximum point. The number of each air compressor's pumping time sub-interval is counted. Based on the cumulative duration and number of each air compressor's pumping time sub-interval, the average air compressor pumping time interval is determined. The specific formula is as follows:

[0047] Where T is the average pumping interval of the air compressor, and n is the number of pumping time sub-intervals of the air compressor. Let be the duration of the i-th air compressor pumping time interval.

[0048] Furthermore, such as Figure 10 As shown, determining whether there is a leak in the vehicle's braking circuit based on the average pumping time interval of the air compressor and a preset standard average pumping time interval of the air compressor includes: S1001, when the average pumping time interval of the air compressor is greater than or equal to the first coefficient multiple of the standard average pumping time interval of the air compressor, the vehicle braking circuit is determined to be leak-free. S1002, when the average pumping time interval of the air compressor is less than the first coefficient multiple of the standard average pumping time interval of the air compressor and is greater than or equal to the second coefficient multiple of the standard average pumping time interval of the air compressor, it is determined that there is a slight leak in the vehicle's braking circuit. S1003, when the average pumping time interval of the air compressor is less than the second coefficient multiple of the standard average pumping time interval of the air compressor, it is determined that the vehicle braking circuit has a serious leak; wherein, the first coefficient is greater than the second coefficient.

[0049] In this embodiment of the invention, by comparing the average pumping time interval of the air compressor with a preset standard average pumping time interval of the air compressor, it can be determined whether there is a leak in the vehicle's air circuit. Specifically, when... At that time, it is determined that there is no leakage in the vehicle's braking circuit. At that time, it was determined that there was a slight leak in the vehicle's braking circuit; when At that time, it was determined that the vehicle's braking circuit had a serious leak; among them, The average pumping time interval of a standard air compressor. As the first coefficient, it is set to 0.9. The second coefficient is set to 0.7. Optionally, when a minor gas leak is detected, continuous monitoring can be performed; when a serious gas leak is detected, the vehicle will be alerted to need to be taken to a repair shop.

[0050] This invention enables accurate identification of minor air leaks by comparing the average pumping time interval of the air compressor with a preset standard average pumping time interval of the air compressor.

[0051] In some possible embodiments of the present invention, such as Figure 11 As shown, after determining the target extreme pressure point for the air pressure data, the following steps are included: S1101, determine the air compressor's pumping time based on the target air pressure extreme point, and calculate the air compressor's load rate based on the pumping time and engine running time; S1102, determine whether there is leakage in the vehicle braking circuit based on the load rate and the preset standard load rate.

[0052] In this embodiment of the invention, another scheme for determining whether the air circuit is leaking based on extreme points is provided. The compressor's pumping time is determined based on the target air pressure extreme point, and the compressor's load rate is calculated based on the atmospheric pressure duration and engine operating time. Similar to the previous embodiment, the compressor's pumping time is statistically analyzed, and the quotient of the pumping time and engine operating time is taken as the compressor's load rate. Then, the relationship between this load rate and a preset standard load rate is used to determine whether the vehicle's braking circuit is leaking. Specifically, it can be determined by the difference between the load rate and the standard load rate, or by a multiple relationship between the load rate and the standard load rate, or by a multiple relationship between the difference between the load rate and the standard load rate and the standard load rate. This invention does not limit the scope of the method.

[0053] This invention provides a solution for determining whether there is a leak in the air circuit based on the air compressor load rate, and provides a more comprehensive solution for air circuit diagnosis.

[0054] To better implement the gas path diagnosis method in the embodiments of the present invention, based on the gas path diagnosis method, correspondingly, as follows: Figure 12 As shown, this embodiment of the invention also provides a gas path diagnostic device, the gas path diagnostic device 1200 including: The data acquisition module 1201 is used to acquire the air pressure data of the vehicle braking circuit and determine the initial air pressure extreme point in the air pressure data based on the preset initial air pressure extreme value cutoff point. The pressure extreme point determination module 1202 is used to determine the target pressure extreme point cutoff point of the pressure data based on the number of initial pressure extreme points and the standard deviation of the initial pressure extreme points, and to determine the target pressure extreme point of the pressure data based on the target pressure extreme point cutoff point. The leakage diagnosis module 1203 is used to determine the average pumping time interval of the air compressor based on the target air pressure extreme point, and to determine whether there is a leak in the vehicle braking circuit based on the average pumping time interval of the air compressor and the preset standard average pumping time interval of the air compressor.

[0055] The gas path diagnostic device 1200 provided in the above embodiments can realize the technical solutions described in the above gas path diagnostic method embodiments. The specific implementation principles of each module or unit can be found in the corresponding content in the above gas path diagnostic method embodiments, and will not be repeated here.

[0056] like Figure 13 As shown, the present invention also provides a vehicle 1300. The vehicle 1300 includes a processor 1301, a memory 1302, and a display 1303. Figure 13 Only some components of vehicle 1300 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0057] In some embodiments, processor 1301 may be a central processing unit (CPU), a microprocessor, or other data processing chip, used to run program code stored in memory 1302 or process data, such as the gas path diagnostic method of the present invention.

[0058] In some embodiments, processor 1301 may be a single server or a group of servers. The server group may be centralized or distributed. In some embodiments, processor 1301 may be local or remote. In some embodiments, processor 1301 may be implemented on a cloud platform. In some embodiments, the cloud platform may include a private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, internal cloud, multi-cloud, or any combination thereof.

[0059] In some embodiments, memory 1302 may be an internal storage unit of vehicle 1300, such as a hard disk or memory of vehicle 1300. In other embodiments, memory 1302 may also be an external storage device of vehicle 1300, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on vehicle 1300.

[0060] Furthermore, the memory 1302 may include both internal storage units of the vehicle 1300 and external storage devices. The memory 1302 is used to store application software and various types of data installed on the vehicle 1300.

[0061] In some embodiments, display 1303 may be an LED display, a liquid crystal display, a touch-screen liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 1303 is used to display information about vehicle 1300 and to display a visual user interface. Components 1301-1303 of vehicle 1300 communicate with each other via a system bus.

[0062] In some embodiments, when the processor 1301 executes the gas path diagnostic program in the memory 1302, the following steps may be performed: Obtain air pressure data of the vehicle braking circuit, and determine the initial air pressure extreme point in the air pressure data based on the preset initial air pressure extreme value cutoff point; The target pressure extreme value cutoff point of the pressure data is determined based on the number of initial pressure extreme value points and the standard deviation of the initial pressure extreme value points, and the target pressure extreme value point of the pressure data is determined based on the target pressure extreme value cutoff point. The average pumping time interval of the air compressor is determined based on the target air pressure extreme point, and whether there is leakage in the vehicle braking circuit is determined based on the average pumping time interval of the air compressor and the preset standard average pumping time interval of the air compressor.

[0063] It should be understood that when the processor 1301 executes the gas path diagnostic program in the memory 1302, in addition to the functions mentioned above, it can also perform other functions, as can be found in the description of the corresponding method embodiments above.

[0064] Furthermore, the present invention does not specifically limit the type of vehicle 1300 mentioned. Vehicle 1300 can be an electric vehicle, a non-electric vehicle, a commercial vehicle, a passenger vehicle, etc. Vehicle 1300 should be equipped with an air circuit for use in vehicle braking or other components.

[0065] Accordingly, this application also provides a computer-readable storage medium for storing computer-readable programs or instructions. When the programs or instructions are executed by a processor, they can implement the steps or functions of the gas path diagnostic methods provided in the above-described method embodiments.

[0066] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware, and the program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0067] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A gas path diagnostic method, characterized in that, include: Obtain air pressure data of the vehicle braking circuit, and determine the initial air pressure extreme point in the air pressure data based on the preset initial air pressure extreme value cutoff point; The target pressure extreme value cutoff point of the pressure data is determined based on the number of initial pressure extreme value points and the standard deviation of the initial pressure extreme value points, and the target pressure extreme value point of the pressure data is determined based on the target pressure extreme value cutoff point; The average pumping time interval of the air compressor is determined based on the target air pressure extreme point, and whether the vehicle braking circuit leaks is determined based on the average pumping time interval of the air compressor and the preset standard average pumping time interval of the air compressor.

2. The gas path diagnostic method according to claim 1, characterized in that, The process of acquiring air pressure data from the vehicle braking circuit, and determining the initial air pressure extreme point in the air pressure data based on a preset initial air pressure extreme value cutoff point, includes: Acquire air pressure data of the braking circuit when the vehicle has not braked within a preset time period; The pressure data is smoothed by applying a preset window length to each pressure point in the pressure data to obtain smoothed pressure data. The pressure points in the smoothed pressure data that are greater than the cutoff point of the initial maximum pressure are taken as the initial maximum pressure points, and the pressure points in the smoothed pressure data that are less than the cutoff point of the initial minimum pressure are taken as the initial minimum pressure points.

3. The gas path diagnostic method according to claim 1, characterized in that, The step of determining the target pressure extreme value cutoff point of the pressure data based on the number of initial pressure extreme points and the standard deviation of the initial pressure extreme points includes: The initial pressure extreme point is determined by sequentially using the pressure values ​​within the pressure range included in the pressure data as the initial pressure extreme point cutoff point according to the preset pressure interval. And calculate the pressure extreme cutoff point score of the pressure value based on the number of initial pressure extreme points corresponding to each pressure value and the standard deviation of the initial pressure extreme points; The air pressure value with the highest score at the air pressure extreme value cutoff point is taken as the target air pressure extreme value cutoff point.

4. The gas path diagnostic method according to claim 1, characterized in that, The target pressure extreme value cutoff point includes the target pressure maximum value cutoff point and the target pressure minimum value cutoff point. Determining the target pressure extreme value point of the pressure data based on the target pressure extreme value cutoff point includes: The peaks in the air pressure data that are greater than the cutoff point of the target air pressure maximum value are taken as candidate target air pressure maximum value points, and the troughs in the air pressure data that are less than the cutoff point of the target air pressure minimum value are taken as candidate target air pressure minimum value points. The candidate target pressure maximum and minimum points are screened to obtain the target pressure extreme points, so as to ensure that there is one and only one minimum target pressure extreme point between adjacent target pressure maximum points and one and only one maximum target pressure maximum point between adjacent target pressure minimum points.

5. The gas path diagnostic method according to claim 4, characterized in that, The step of determining the average pumping time interval of the air compressor based on the target air pressure extreme point includes: The time interval between the first target pressure maximum point and the first target pressure minimum point is taken as the air compressor pumping time sub-interval, wherein the first target pressure minimum point is the target pressure minimum point adjacent to the first target pressure maximum point after the first target pressure maximum point. The number of pumping time sub-intervals of each air compressor is counted, and the average pumping time interval of the air compressor is determined based on the cumulative duration and the number of pumping time sub-intervals of each air compressor.

6. The gas path diagnostic method according to claim 5, characterized in that, The method of determining whether the vehicle braking circuit leaks based on the average pumping time interval of the air compressor and a preset standard average pumping time interval of the air compressor includes: When the average pumping time interval of the air compressor is greater than or equal to the first coefficient multiple of the standard average pumping time interval of the air compressor, it is determined that the vehicle braking circuit is not leaking. When the average pumping time interval of the air compressor is less than the first coefficient multiple of the standard average pumping time interval of the air compressor and is greater than or equal to the second coefficient multiple of the standard average pumping time interval of the air compressor, it is determined that the vehicle braking circuit has a slight leak. When the average pumping time interval of the air compressor is less than a second coefficient multiple of the standard average pumping time interval of the air compressor, the vehicle braking circuit is determined to have a serious leak; wherein, the first coefficient is greater than the second coefficient.

7. The gas path diagnostic method according to claim 1, characterized in that, After determining the target extreme point of the air pressure data, the process includes: The air compressor's pumping time is determined based on the target air pressure extreme point, and the air compressor's load rate is calculated based on the pumping time and the engine running time. The vehicle braking circuit is determined to be leaking based on the load rate and the preset standard load rate.

8. A gas path diagnostic device, characterized in that, include: The data acquisition module is used to acquire air pressure data of the vehicle braking circuit and determine the initial air pressure extreme point in the air pressure data based on the preset initial air pressure extreme value cutoff point. The pressure extreme point determination module is used to determine the target pressure extreme point cutoff point of the pressure data based on the number of initial pressure extreme points and the standard deviation of the initial pressure extreme points, and to determine the target pressure extreme point of the pressure data based on the target pressure extreme point cutoff point. The leakage diagnosis module is used to determine the average pumping time interval of the air compressor based on the target air pressure extreme point, and to determine whether the vehicle braking circuit is leaking based on the average pumping time interval of the air compressor and the preset standard average pumping time interval of the air compressor.

9. A vehicle, characterized in that, Including memory and processor, among which, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the gas path diagnostic method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the gas path diagnostic method according to any one of claims 1 to 7.

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